Technical Product Manager

Nexaminds•Cincinnati, OH

9d•Onsite

About The Position

Nexaminds is looking for a Technical Product Manager to support a Retail Sales Data Platform responsible for delivering near-real-time sales data to downstream consumers. The ideal candidate has experience managing data-driven products, partnering with engineering teams, and translating business needs into scalable technical solutions. This role focuses on defining product requirements, prioritizing initiatives, supporting the modernization of legacy applications, and collaborating closely with business stakeholders, architects, and engineering teams to deliver high-quality data platform capabilities in an Agile environment.

Requirements

8+ years of experience as a Product Manager, Technical Product Manager, or Product Owner supporting software products.
Experience working with retail, sales, transactional, or other data-intensive applications.
Experience working closely with software engineering teams in Agile environments.
Ability to write clear user stories, define acceptance criteria, and prioritize product backlogs.
Strong analytical skills with the ability to query data using SQL.
Excellent communication and stakeholder management skills.
Ability to make informed product decisions by balancing business needs with technical considerations.

Nice To Haves

Experience supporting real-time or streaming data platforms.
Familiarity with Databricks, Google Cloud Platform (GCP), or similar cloud-based data platforms.
Exposure to Kafka or event-driven architectures.
Basic understanding of Java- or Python-based applications.
Experience supporting application modernization or legacy system migrations.

Responsibilities

Own and prioritize the product backlog, ensuring alignment with business priorities and engineering capacity.
Collaborate with business stakeholders, SMEs, architects, and engineering teams to gather, refine, and document product requirements.
Define user stories, acceptance criteria, and product priorities for Agile development teams.
Evaluate new business requests and determine the appropriate product or engineering team responsible for implementation.
Support the migration of capabilities from legacy applications to the new retail sales data platform.
Use SQL and data analysis to validate requirements, support product decisions, and understand business impacts.
Monitor product performance, analyze operational metrics, and identify opportunities for continuous improvement.
Partner with engineering throughout the software development lifecycle to ensure successful delivery of product initiatives.